DOLFINxCommunity indexed
Formulate and solve finite-element problems using the C++ and Python environment at the core of FEniCSx.
Research discipline MathematicsReusable outputs 1
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GitHub · FEniCS/dolfinxStars 1.2KForks 265
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GitHub source
dfm/emcee
The Python ensemble sampling toolkit for affine-invariant MCMC
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GitHub · dfm/emceeStars 1.6KForks 440
License unknown
Tool
DOLFINx tool
Formulate and solve finite-element problems using the C++ and Python environment at the core of FEniCSx.
Added Change observed by
GitHub · FEniCS/dolfinxStars 1.2KForks 265
Mathematics
DoloCommunity indexed
Describe and numerically solve rational-expectations economic models, including models with occasionally binding constraints.
Research discipline Economics and businessReusable outputs 1
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GitHub · EconForge/dolo.pyStars 110Forks 72
License unknown
Tool
Dolo tool
Describe and numerically solve rational-expectations economic models, including models with occasionally binding constraints.
Added Change observed by
GitHub · EconForge/dolo.pyStars 110Forks 72
Economics and business
DOCommunity indexed
DoubleML
@DoubleML
Public GitHub organization represented by selected research sources.
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GitHub · @DoubleMLPublic followers unknown
1 source · 1 capabilities
DoubleML PythonCommunity indexed
Estimate and infer target parameters in specified causal models using double/debiased machine learning; identification assumptions remain the researcher's responsibility.
Research discipline Economics and businessReusable outputs 1
Added Change observed by
GitHub · DoubleML/doubleml-for-pyStars 788Forks 128
License unknown
Tool
DoubleML Python tool
Estimate and infer target parameters in specified causal models using double/debiased machine learning; identification assumptions remain the researcher's responsibility.
Added Change observed by
GitHub · DoubleML/doubleml-for-pyStars 788Forks 128
Economics and business
Catalog snapshot 2026-09-22. Date ranges use UTC. Filters use the captured page time; results can change with a new catalog snapshot. Research stays at its original source.